Biomedical subjects

Peter Olofsson

Publications and source records attributed to Peter Olofsson.

7 recordsLinked to original sources

PubMed2003

Identification and isolation of dominant susceptibility loci for pristane-induced arthritis.

Rheumatoid arthritis is a chronic inflammatory autoimmune disorder, controlled by multiple genes as well as environmental factors. With animal models, like the pristane-induced arthritis (PIA) in rats, it is possible to reduce the environmental effects and the genetic heterogeneity to identify chromosomal regions harboring genes responsible for the arthritis development. The PIA model has proved to be useful for identifying gene regions controlling different phases of the disease based on intercrosses between the resistant E3 and the susceptible DA rat. We have now performed a high-powered backcross analysis that confirms previous intercross-based data but also identifies additional loci. Earlier identified PIA loci were reproduced with high significance; Pia1 (MHC region on chromosome 20), Pia4 (chromosome 12), and Pia7 (chromosome 4) are all major regulators of PIA severity and were also found to operate in concert. These three loci were verified in congenic strains using both disease- and arthritis-inflammatory-related subphenotypes as traits. We were also able to detect five new quantitative trait loci with dominant effects on PIA: Pia10, Pia12, Pia13, Pia14, and Pia15 on chromosomes 10, 6, 7, 8, and 18, respectively. These data highlight the usefulness of the statistical power obtained in a backcross of a complex disease like arthritis.

Animals↗

PubMed2003

New loci regulating rat myelin oligodendrocyte glycoprotein-induced experimental autoimmune encephalomyelitis.

Myelin oligodendrocyte glycoprotein-induced experimental autoimmune encephalomyelitis (EAE) is an inflammatory disease in rats that closely mimics many clinical and histopathological aspects of multiple sclerosis. Non-MHC quantitative trait loci regulating myelin oligodendrocyte glycoprotein-induced EAE have previously been identified in the EAE-permissive strain, DA, on rat chromosomes 4, 10, 15, and 18. To find any additional gene loci in another well-known EAE-permissive strain and thereby to assess any genetic heterogeneity in the regulation of the disease, we have performed a genome-wide linkage analysis in a reciprocal (LEW.1AV1 x PVG.1AV1) male/female F(2) population (n = 185). We examined reciprocal crosses, but no parent-of-origin effect was detected. The parental rat strains share the RT1(av1) MHC haplotype; thus, non-MHC genes control differences in EAE susceptibility. We identified Eae16 on chromosome 8 and Eae17 on chromosome 13, significantly linked to EAE phenotypes. Two loci, on chromosomes 1 and 17, respectively showed suggestive linkage to clinical and histopathological EAE phenotypes. Eae16 and Eae17 differ from those found in previously studied strain combinations, thus demonstrating genetic heterogeneity of EAE. Furthermore, we detected a locus-specific parent-of-origin effect with suggestive linkage in Eae17. Further genetic and functional dissection of these loci may disclose critical disease-regulating molecular mechanisms.

Animals↗

PubMed2003

A comparative genetic analysis between collagen-induced arthritis and pristane-induced arthritis.

OBJECTIVE: To compare the genetic regulation of collagen-induced arthritis (CIA) with that of pristane-induced arthritis (PIA) in rats. METHODS: A genome-wide linkage analysis of an (E3 x DA)DA backcross of rats with CIA (n = 364 male rats; the same strain combinations as previously used to determine the genetic control of PIA) was performed. The strongest loci in both CIA and PIA (i.e., Cia12/Pia4 and Cia13/Pia7) were isolated in congenic strains. Susceptibility in both congenic strains was tested in rats with CIA and in rats with PIA. RESULTS: We found a striking, although not complete, similarity of the arthritis-controlling loci in CIA and in PIA, as well as the previously defined loci associated with cartilage destruction, antibody production, and the acute-phase response. All major PIA quantitative trait loci (QTLs) identified in early severe arthritis were also strong regulators of CIA. The 2 strongest QTLs, Cia12/Pia4 on chromosome 12 and Cia13/Pia7 on chromosome 4, were also analyzed in congenic strains with DA or E3 as the background genome. Consistent with the results of linkage analysis, the congenic strain experiments showed that the chromosome 4 locus was more penetrant in CIA than in PIA, while the chromosome 12 locus almost completely dominated the control of PIA severity. CONCLUSION: The underlying genetic control of CIA was found to have many, but not all, pathogenic mechanisms in common with PIA, despite the use of a cartilage-specific antigen (type II collagen) to induce CIA but not PIA.

Animals↗

PubMed2002

Positional identification of Ncf1 as a gene that regulates arthritis severity in rats.

The identification of genes underlying quantitative-trait loci (QTL) for complex diseases, such as rheumatoid arthritis, is a challenging and difficult task for the human genome project. Through positional cloning of the Pia4 QTL in rats, we found that a naturally occurring polymorphism of Ncf1 (encoding neutrophil cytosolic factor 1, a component of the NADPH oxidase complex) regulates arthritis severity. The disease-related allele of Ncf1 has reduced oxidative burst response and promotes activation of arthritogenic T cells. Pharmacological treatment with substances that activate the NADPH oxidase complex is shown to ameliorate arthritis. Hence, Ncf1 is associated with a new autoimmune mechanism leading to severe destructive arthritis, notably similar to rheumatoid arthritis in humans.

Adoptive Transfer↗

PubMed2002

Genetic links between the acute-phase response and arthritis development in rats.

OBJECTIVE: The acute-phase inflammatory response is closely correlated with the development of rheumatoid arthritis, but the pathophysiologic role of its specific components is largely unknown. We investigated the genetic control of the acute-phase protein response in pristane-induced arthritis (PIA), which is a chronic erosive arthritis model in rats. METHODS: Plasma levels of the acute-phase proteins interleukin-6 (IL-6), alpha1-acid glycoprotein (orosomucoid), fibrinogen, and alpha1-inhibitor3 were quantified in 3 strains of rats during the development and progression of disease: DA and LEW.1F, which are susceptible to arthritis, and E3, which is resistant. Genetic linkage analysis was performed on an F2 intercross between E3 and DA to determine the genetic control of the acute-phase response in arthritis. Elevated levels of alpha1-acid glycoprotein were associated with acute inflammation, whereas levels of IL-6 were increased during the entire course of the disease. RESULTS: Using these acute-phase markers as quantitative traits in linkage analysis revealed a colocalization of loci controlling the acute-phase response and regions previously shown to control the development of arthritis in chromosomes 10, 12, and 14. In addition, 2 loci that were not associated with arthritis were found to regulate serum levels of the acute-phase protein Apr1 (acute-phase response 1) at the telomeric end of chromosome 12 and Apr2 on chromosome 5. CONCLUSION: The PIA model in rats is a useful tool for understanding some of the pathways leading to chronic erosive arthritis. The analysis of acute-phase proteins in PIA and its application as quantitative traits for studying the genetics of arthritis will promote the understanding of the genetic regulation of the acute-phase response.

Acute Disease↗

PubMed2002

Exact sampling formulas for multi-type Galton-Watson processes.

Exact formulas for the mean and variance of the proportion of different types in a fixed generation of a multi-type Galton-Watson process are derived. The formulas are given in terms of iterates of the probability generating function of the offspring distribution. It is also shown that the sequence of types backwards from a randomly sampled particle in a fixed generation is a non-homogeneous Markov chain where the transition probabilities can be given explicitly, again in terms of probability generating functions. Two biological applications are considered: mutations in mitochondrial DNA and the polymerase chain reaction.

Computer Simulation↗

PubMed2002

Both common and unique susceptibility genes in different rat strains with pristane-induced arthritis.

Pristane-induced arthritis (PIA) in rats is an animal model for rheumatoid arthritis (RA). We have previously identified seven quantitative trait loci (QTLs), which regulate arthritis development using a cross between the susceptible DA strain and the resistant E3 strain of rats (Pia2-8). In the present study the inbred rat strain LEW.1F was used as the susceptible strain in a cross with the E3 strain. The results confirmed the locus Pia4 on chromosome 12, which previously was shown to be associated with PIA, and also with experimental allergic encephalomyelitis, in crosses between the rat strains E3 and DA. On chromosome 1, linked to the albino locus, we identified a novel QTL, Pia9 in the LEW.F1 cross. This locus was associated with arthritis severity in the early phase of disease. A locus on chromosome 16, denoted Pia11, was also associated with arthritis severity in the early phase of the disease. A suggestive locus was detected on chromosome 14, which was associated with arthritis severity at the time when PIA progresses into a chronic phase. Using a congenic LEW.1F strain, which carries E3 alleles at the Pia9 locus, we confirmed that the E3 allele significantly suppresses arthritis severity during the early phase of the disease. The results revealed synergistic effects between different susceptibility loci using ANOVA analysis. These interactions were influenced by gender. Rats with Pia9 alleles from LEW.1F and Pia11 alleles from E3, were shown to suffer from much more severe arthritis in the early stage of the disease. On the other hand, the Pia9 and the suggestive locus on chromosome 14 affected only males during the chronic phase of the disease. These findings provide clues to how genetic factors by themselves, and in interaction with each other, regulate the development of a disease, which displays many similarities to RA.

Animals↗